Researchers Halt Work on Human-like AI

Dean of computer science at Carnegie-Mellon University Andrew Moore recently said that most researchers in the AI community are now favoring work that applies what has been discovered so far, instead of trying to create machines that think like a human.

Experts like Moore say that there had been little progress in mirroring human-like thinking out of the box, and while current AI displays impressive capability in visualization, speech, and difficult games, it still contains “no magic.” Moore says he now prefers to focus on “low power computing” involving hardware that can operate at a fraction of the power currently required.

Another pioneer in the field of AI, Geoff Hinton, previously remarked that researchers may need to start over.

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